mirror of
https://github.com/PaddlePaddle/FastDeploy.git
synced 2025-10-31 20:02:53 +08:00
129dda7809
* Add sort function * Add isfinite function * upgrade isinf isnan * Add Scalar to FDTensor * Add floor, ceil function * add cast functions * Update out_tmp * Update quantile * add gather scatter along axis * finish quantile function * Add quantile unittest * refresh code style for test source code * Add comments * Add full function * Add scalar to fd tensor * Add full unittest * Add functions headers * move fdtensor operators to fastdeploy namespace
109 lines
4.3 KiB
C++
109 lines
4.3 KiB
C++
// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
|
|
//
|
|
// Licensed under the Apache License, Version 2.0 (the "License");
|
|
// you may not use this file except in compliance with the License.
|
|
// You may obtain a copy of the License at
|
|
//
|
|
// http://www.apache.org/licenses/LICENSE-2.0
|
|
//
|
|
// Unless required by applicable law or agreed to in writing, software
|
|
// distributed under the License is distributed on an "AS IS" BASIS,
|
|
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
// See the License for the specific language governing permissions and
|
|
// limitations under the License.
|
|
|
|
#include "fastdeploy/core/fd_tensor.h"
|
|
#include "fastdeploy/function/sort.h"
|
|
#include "glog/logging.h"
|
|
#include "gtest_utils.h"
|
|
#include "gtest/gtest.h"
|
|
#include <array>
|
|
#include <vector>
|
|
|
|
namespace fastdeploy {
|
|
namespace function {
|
|
|
|
std::vector<float> CreateTestData() {
|
|
// Shape: [2, 3, 4]
|
|
std::vector<float> x_data = {
|
|
0.8428625, 0.6461913, 0.13740455, 0.11430702, 0.659926, 0.535816,
|
|
0.7429162, 0.8456049, 0.21228176, 0.29970083, 0.8621713, 0.40894133,
|
|
0.12684688, 0.1566195, 0.42884097, 0.8476526, 0.2458633, 0.669046,
|
|
0.87888306, 0.6762589, 0.666453, 0.32523027, 0.4139388, 0.8341406};
|
|
return x_data;
|
|
}
|
|
|
|
TEST(fastdeploy, sort_dim0) {
|
|
CheckShape check_shape;
|
|
CheckData check_data;
|
|
FDTensor x, out, indices;
|
|
auto test_data = CreateTestData();
|
|
x.SetExternalData({2, 3, 4}, FDDataType::FP32, test_data.data());
|
|
|
|
Sort(x, &out, &indices, 0);
|
|
|
|
std::vector<float> out_result = {
|
|
0.126847, 0.15662, 0.137405, 0.114307, 0.245863, 0.535816,
|
|
0.742916, 0.676259, 0.212282, 0.299701, 0.413939, 0.408941,
|
|
0.842862, 0.646191, 0.428841, 0.847653, 0.659926, 0.669046,
|
|
0.878883, 0.845605, 0.666453, 0.32523, 0.862171, 0.834141};
|
|
std::vector<int64_t> indices_result = {1, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0,
|
|
0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1};
|
|
check_shape(out.shape, {2, 3, 4});
|
|
check_data(reinterpret_cast<const float*>(out.Data()), out_result.data(),
|
|
out_result.size());
|
|
check_shape(indices.shape, {2, 3, 4});
|
|
check_data(reinterpret_cast<const int64_t*>(indices.Data()),
|
|
indices_result.data(), indices_result.size());
|
|
}
|
|
|
|
TEST(fastdeploy, sort_dim1) {
|
|
CheckShape check_shape;
|
|
CheckData check_data;
|
|
FDTensor x, out, indices;
|
|
auto test_data = CreateTestData();
|
|
x.SetExternalData({2, 3, 4}, FDDataType::FP32, test_data.data());
|
|
|
|
Sort(x, &out, &indices, 1);
|
|
|
|
std::vector<float> out_result = {
|
|
0.212282, 0.299701, 0.137405, 0.114307, 0.659926, 0.535816,
|
|
0.742916, 0.408941, 0.842862, 0.646191, 0.862171, 0.845605,
|
|
0.126847, 0.15662, 0.413939, 0.676259, 0.245863, 0.32523,
|
|
0.428841, 0.834141, 0.666453, 0.669046, 0.878883, 0.847653};
|
|
std::vector<int64_t> indices_result = {2, 2, 0, 0, 1, 1, 1, 2, 0, 0, 2, 1,
|
|
0, 0, 2, 1, 1, 2, 0, 2, 2, 1, 1, 0};
|
|
check_shape(out.shape, {2, 3, 4});
|
|
check_data(reinterpret_cast<const float*>(out.Data()), out_result.data(),
|
|
out_result.size());
|
|
check_shape(indices.shape, {2, 3, 4});
|
|
check_data(reinterpret_cast<const int64_t*>(indices.Data()),
|
|
indices_result.data(), indices_result.size());
|
|
}
|
|
|
|
TEST(fastdeploy, sort_dim2) {
|
|
CheckShape check_shape;
|
|
CheckData check_data;
|
|
FDTensor x, out, indices;
|
|
auto test_data = CreateTestData();
|
|
x.SetExternalData({2, 3, 4}, FDDataType::FP32, test_data.data());
|
|
|
|
Sort(x, &out, &indices, 2);
|
|
|
|
std::vector<float> out_result = {
|
|
0.114307, 0.137405, 0.646191, 0.842862, 0.535816, 0.659926,
|
|
0.742916, 0.845605, 0.212282, 0.299701, 0.408941, 0.862171,
|
|
0.126847, 0.15662, 0.428841, 0.847653, 0.245863, 0.669046,
|
|
0.676259, 0.878883, 0.32523, 0.413939, 0.666453, 0.834141};
|
|
std::vector<int64_t> indices_result = {3, 2, 1, 0, 1, 0, 2, 3, 0, 1, 3, 2,
|
|
0, 1, 2, 3, 0, 1, 3, 2, 1, 2, 0, 3};
|
|
check_shape(out.shape, {2, 3, 4});
|
|
check_data(reinterpret_cast<const float*>(out.Data()), out_result.data(),
|
|
out_result.size());
|
|
check_shape(indices.shape, {2, 3, 4});
|
|
check_data(reinterpret_cast<const int64_t*>(indices.Data()),
|
|
indices_result.data(), indices_result.size());
|
|
}
|
|
|
|
} // namespace function
|
|
} // namespace fastdeploy
|